Research milestones, platform launches, national press coverage, and upcoming events — all in one place. If we've done it or it's on the horizon, it lives here.
Published in Springer LNNS Vol. 1945 — our deep-learning research goes beyond binary diagnosis to classify eight distinct laryngeal conditions. The architecture is designed for deployment on low-memory hardware, putting advanced diagnostics within reach of district hospitals across India.
Events we're building toward — register your interest now to hear first when dates and details are confirmed.
A high-intensity AI hackathon for undergraduate and postgraduate students. Build real products on real datasets with live mentorship from industry engineers and researchers.
A week-long AI discovery programme for Class 9–12 students — machine learning foundations, real-world problem solving, and a final showcase judged by industry mentors.
A focused workshop for ENT surgeons and oncologists — introducing AI-assisted diagnostic tools for early cancer detection and practical integration into clinical workflows.
More events confirmed throughout 2026 — reach out to host or collaborate with us
A chronological record of what we've built, published, and launched.
Covered across leading English and Hindi publications following the Springer publication.
The research featured amid a university AI-in-education push, with new AI programmes launching from the 2026–27 session.
An early laryngeal-cancer detection AI developed by the research team's computer-science group.
Highlighted the clinical promise of NBI-based AI for early, biopsy-free diagnosis and treatment guidance.
Narrow-band imaging methodology in detail — the model identifies eight distinct laryngeal conditions.
Coverage of clinical applicability — enabling timely treatment through precise early-stage identification.
Coverage of academic mentorship programmes and PrajniX Labs' research partnerships.
Whether you're a student, institution, clinician, or collaborator — there's a place for you here.